def test(detail): def get_first_n_lines(string, n): lines = string.splitlines() n = min(n, len(lines)) return '\n'.join(lines[:n]) #gc.set_debug(gc.DEBUG_UNCOLLECTABLE | gc.DEBUG_SAVEALL) start_time = time.time() with codecs.open('../test/testcode7.py', 'r', 'utf-8') as f: code = f.read() user = User('10032') backtest = Backtesting(user, 'test', code, ['EURUSD'], 'M30', '2015-01-01', '2016-01-01') print(backtest.progress) for _ in range(4): backtest.start() print(backtest.get_performance().trade_summary) if detail: translator = DataframeTranslator() user_dir = UserDirectory(user) print(user_dir.get_sys_func_list()) print(backtest.get_profit_records()) # 获取浮动收益曲线 print(backtest.get_parameters()) # 获取策略中的参数(用于优化) performance = backtest.get_performance() # 获取策略的各项指标 print('trade_info:\n%s' % performance._manager.trade_info) print('trade_summary:\n%s' % performance.trade_summary) print('trade_details:\n%s' % performance.trade_details) print(translator.dumps(performance._manager.trade_info)) print(translator.dumps(performance.trade_details)) print('strategy_summary:\n%s' % performance.strategy_summary) print('optimize_info:\n%s' % performance.optimize_info) print('info_on_home_page\n%s' % performance.get_info_on_home_page()) print(performance.get_factor_list()) # print(performance.yield_curve) print('ar:\n%s' % performance.ar) # 年化收益率 print('risk_free_rate:\n%s' % performance._manager.risk_free_rate) # 无风险收益率 print('volatility:\n%s' % performance.volatility) # 波动率 print('sharpe_ratio:\n%s' % performance.sharpe_ratio) # sharpe比率 print('max_drawdown:\n%s' % performance.max_drawdown) # 最大回测 print('trade_position\n%s' % performance.trade_positions) # 交易仓位 print(time.time() - start_time) # print('output:\n%s' % get_first_n_lines(backtest.get_output(), 100)) print(time.time() - start_time) print(backtest.progress) paras = {'handle': {'times': {'start': 10, 'end': 10, 'step': 1}}} optimize = backtest.optimize(paras, None, None) print('optimize\n%s' % optimize) print(time.time() - start_time) del backtest performance = None optimize = None
def test(detail): def get_first_n_lines(string, n): lines = string.splitlines() n = min(n, len(lines)) return '\n'.join(lines[:n]) #gc.set_debug(gc.DEBUG_UNCOLLECTABLE | gc.DEBUG_SAVEALL) start_time = time.time() with codecs.open('../test/testcode7.py', 'r', 'utf-8') as f: code = f.read() user = User('10032') backtest = Backtesting(user, 'test', code, ['EURUSD'], 'M30', '2015-01-01', '2016-01-01') print(backtest.progress) for _ in range(4): backtest.start() print(backtest.get_performance().trade_summary) if detail: translator = DataframeTranslator() user_dir = UserDirectory(user) print(user_dir.get_sys_func_list()) print(backtest.get_profit_records()) # 获取浮动收益曲线 print(backtest.get_parameters()) # 获取策略中的参数(用于优化) performance = backtest.get_performance() # 获取策略的各项指标 print('trade_info:\n%s' % performance._manager.trade_info) print('trade_summary:\n%s' % performance.trade_summary) print('trade_details:\n%s' % performance.trade_details) print(translator.dumps(performance._manager.trade_info)) print(translator.dumps(performance.trade_details)) print('strategy_summary:\n%s' % performance.strategy_summary) print('optimize_info:\n%s' % performance.optimize_info) print('info_on_home_page\n%s' % performance.get_info_on_home_page()) print(performance.get_factor_list()) # print(performance.yield_curve) print('ar:\n%s' % performance.ar) # 年化收益率 print('risk_free_rate:\n%s' % performance._manager.risk_free_rate) # 无风险收益率 print('volatility:\n%s' % performance.volatility) # 波动率 print('sharpe_ratio:\n%s' % performance.sharpe_ratio) # sharpe比率 print('max_drawdown:\n%s' % performance.max_drawdown) # 最大回测 print('trade_position\n%s' % performance.trade_positions) # 交易仓位 print(time.time() - start_time) # print('output:\n%s' % get_first_n_lines(backtest.get_output(), 100)) print(time.time() - start_time) print(backtest.progress) paras = {'handle': {'times': {'start': 10, 'end': 10, 'step': 1}}} optimize = backtest.optimize(paras, None, None) print('optimize\n%s' % optimize) print(time.time() - start_time) del backtest performance = None optimize = None
def run_backest(kwargs): try: file = kwargs.pop('code') with codecs.open(file, 'r', 'utf-8') as f: code = f.read() f.close() user = '******' parameters = kwargs.pop('paras') start_time = kwargs.pop('start_time') end_time = kwargs.pop('end_time') symbol = kwargs.pop('symbol') time_frame = kwargs.pop('time_frame') log = kwargs.pop('log') backtest = Backtesting(user, 'test', code, [symbol], time_frame, start_time, end_time) if log: handle = logging.FileHandler(log, encoding='utf-8') logger = logging.getLogger('backtest') logger.addHandler(handle) logger.setLevel(logging.INFO) backtest.set_logger(logger) backtest.start(paras=parameters) performance = backtest.get_performance() result = performance.optimize_info temp = pd.Series({signal + '.' + k: v for signal, paras in parameters.items() for k, v in paras.items()}) result = pd.concat([temp, result]) backtest.log(backtest.time("绩效计算完毕,耗时:{0}"), logging.INFO) return result except Exception as e: print("Error: {0}, Para: {1}".format(e, parameters)) print(traceback.format_exc()) return None
def run_backtest(file, config): cache = StrategyPerformanceJsonCache(user) # TODO 修改为JSON try: with codecs.open(file, 'r', 'utf-8') as f: code = f.read() f.close() backtesting = Backtesting(**config) backtesting.set_code(code) backtesting.start() performance = backtesting.get_performance() cache.put_performance(performance) cache.put('setting', json.dumps(backtesting.get_setting())) # TODO 修改为JSON output = get_output(user, name) result = {'stat': 'OK', 'result': performance.yield_curve, 'performance': performance.info_on_home_page} except SlaverThreadError as e: tb_message = get_user_friendly_traceback(*e.get_exc()) result = {"stat": "FALSE", "error": string_to_html('\n'.join(tb_message))} except Exception: tb_message = get_user_friendly_traceback(*sys.exc_info()) result = {"stat": "FALSE", "error": string_to_html('\n'.join(tb_message))} finally: output = get_output(user, name) result['output'] = string_to_html(output) cache.put('response', json.dumps(result))
def run_backest(**parameters): with codecs.open('../test/testcode9.py', 'r', 'utf-8') as f: code = f.read() user = User('10032') backtest = Backtesting(user, 'test', code, ['EURUSD'], 'M30', '2015-01-02', '2015-03-01') backtest.start(paras=parameters) performance = backtest.get_performance() print(performance.trade_summary)
def run_backest(**parameters): with codecs.open("../test/testcode9.py", "r", "utf-8") as f: code = f.read() user = User("10032") backtest = Backtesting(user, "test", code, ["EURUSD"], "M30", "2015-01-02", "2015-03-01") backtest.start(paras=parameters) performance = backtest.get_performance() print(performance.trade_summary)
def run_backest(**parameters): with codecs.open('../test/testcode9.py', 'r', 'utf-8') as f: code = f.read() user = User('10032') backtest = Backtesting(user, 'test', code, ['EURUSD'], 'M30', '2015-01-02', '2015-03-01') backtest.start(paras=parameters) performance = backtest.get_performance() print(performance.trade_summary)
def run_backest(**parameters): with codecs.open('../test/testcode9.py', 'r', 'utf-8') as f: code = f.read() user = '******' backtest = Backtesting(user, 'test', code, ['EURUSD'], 'M30', '2015-01-02', '2015-03-01') backtest.start(paras=parameters) performance = backtest.get_performance() result = performance.optimize_info temp = pd.Series({signal + '.' + k: v for signal, paras in parameters.items() for k, v in paras.items()}) result = pd.concat([temp, result]) backtest.log(backtest.time("绩效计算完毕,耗时:{0}"), logging.INFO) return result
def backtest(conn, *args): try: user = args[0] backtesting = Backtesting(*args) backtesting.start() performance = backtesting.get_performance() cache = StrategyPerformanceJsonCache(user) cache.put_performance(performance) cache.put('setting', json.dumps(backtesting.get_setting())) conn.put({"stat": "OK"}) except SlaverThreadError as e: tb_message = get_user_friendly_traceback(*e.get_exc()) conn.put({"stat": "FALSE", "error": string_to_html('\n'.join(tb_message))}) except Exception: tb_message = get_user_friendly_traceback(*sys.exc_info()) conn.put({"stat": "FALSE", "error": string_to_html('\n'.join(tb_message))})
def backtest(conn, *args): try: config = BfConfig(**{v[0]: v[1] for v in zip(["user", "name", "symbols", "time_frame", "start_time", "end_time", "commission", "slippage"], args)}) config.trading_mode = TradingMode.on_tick user = User(config.user) code = get_strategy(user, "LastBacktest").content backtesting = Backtesting() backtesting.set_code(code) backtesting.set_config(config) backtesting.start() performance = backtesting.get_performance() cache = StrategyPerformanceJsonCache(user.user_id) cache.put_performance(performance) cache.put('setting', json.dumps(backtesting.get_setting())) conn.put({"stat": "OK"}) except SlaverThreadError as e: tb_message = get_user_friendly_traceback(*e.get_exc()) conn.put({"stat": "FALSE", "error": string_to_html('\n'.join(tb_message))}) except Exception: tb_message = get_user_friendly_traceback(*sys.exc_info()) conn.put({"stat": "FALSE", "error": string_to_html('\n'.join(tb_message))})
def run_backtest(user, name, file, symbols, time_frame, start_time, end_time, commission, slippage): cache = StrategyPerformanceJsonCache(user) # TODO 修改为JSON try: with codecs.open(file, 'r', 'utf-8') as f: code = f.read() f.close() backtesting = Backtesting(user, name, code, symbols, time_frame, start_time, end_time, commission, slippage) backtesting.start() performance = backtesting.get_performance() cache.put_performance(performance) cache.put('setting', json.dumps(backtesting.get_setting())) # TODO 修改为JSON output = get_output(user, name) result = {'stat': 'OK', 'result': performance.yield_curve, 'performance': performance.info_on_home_page} except SlaverThreadError as e: tb_message = get_user_friendly_traceback(*e.get_exc()) result = {"stat": "FALSE", "error": string_to_html('\n'.join(tb_message))} except Exception: tb_message = get_user_friendly_traceback(*sys.exc_info()) result = {"stat": "FALSE", "error": string_to_html('\n'.join(tb_message))} finally: output = get_output(user, name) result['output'] = string_to_html(output) cache.put('response', json.dumps(result))